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Measuring the Unmeasurable: A Benchmarker's Guide to Agentic AI
For decades, AI benchmarks lived in comfortable isolation. A model answered a question, we checked the answer, we assigned a score. Agentic AI broke that contract. When a model can browse the web, write and execute code, call external APIs, and chain its own decisions across hundreds of steps, a single accuracy number tells you almost nothing about whether the system is actually trustworthy. Evaluating an agent is less like grading an exam and more like auditing a junior empl

Rajeev Gadgil
6 days ago6 min read
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